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dario

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  1. Hi All!, I am looking for a method to get a dramatic performance increase (frame per second) on fullscreen with webGL (I am working now with three.js framework) This is my game: http://tario.github.io/quadnet I made it adapt to window size on browser resize events, so, you can test reducing the window to tiny size to get huge performance, and setting the window to great size (e.g. fullscreen) will make the game VERY SLOW, ok , this make sense since a small enough window will set the resolution to 640x480 or whatever, and (in my case) setting the window to fullscreen will set the resolution to 1600x900... Of course I know render the game in higher screen resolution will be make it slow since there is much more fragments to process by GPU (640x480 -> about 307200 fragments, 1600x900 -> about 1440000 fragments). But now, I am looking a way to render the game smooth (near 60fps) on fullscreen, even sacrifying quality, one approach I tried is to set the resolution of canvas (and rendering) to half widht, half height, (e.g. 800x450) and using CSS to stretch the canvas to cover all the window (all of this on fullscreen), and it didn't improve I hear about methods of postproessing via scaling (e.g. rendering on 800x450, then doing an scale) but I don't know how to use them Thanks in advance!
  2. Hi! I am Dario and I want to show you my game I develop with three.js. You can play it here: http://tario.github.io/quadnet I started the project to begin learning javascript and technologies involved on gaming development for browsers (without flash, without any plugins) by doing a full project (3D Graphics + Sounds + Music + Elemental UI design + Database). To simplify the non-technical part, I choose to make a remake of an old great classic named "quadnet": http://www.martinmagnusson.com/games/quadnet/ The game is in "beta" state, there is a few bugs hard to reproduce but the game is still playable and fun I wil appreciate any type of comments, I will answer any technical (or non-technical) question about the game. Here you can found the source: https://github.com/tario/quadnet Greets! I hope you enjoy the game as much as I enjoy developing it
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